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整合 bulk 和单细胞 RNA-seq 分析鉴定出与癌症相关成纤维细胞相关的特征作为 NSCLC 免疫治疗的预后因素。

Integrative analyses of bulk and single-cell RNA-seq identified cancer-associated fibroblasts-related signature as a prognostic factor for immunotherapy in NSCLC.

机构信息

Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China.

Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, 100021, China.

出版信息

Cancer Immunol Immunother. 2023 Jul;72(7):2423-2442. doi: 10.1007/s00262-023-03428-0. Epub 2023 Apr 3.

Abstract

An emerging view regarding cancer-associated fibroblast (CAF) is that it plays a critical role in tumorigenesis and immunosuppression in the tumor microenvironment (TME), but the clinical significance and biological functions of CAFs in non-small cell lung cancer (NSCLC) are still poorly explored. Here, we aimed to identify the CAF-related signature for NSCLC through integrative analyses of bulk and single-cell genomics, transcriptomics, and proteomics profiling. Using CAF marker genes identified in weighted gene co-expression network analysis (WGCNA), we constructed and validated a CAF-based risk model that stratifies patients into two prognostic groups from four independent NSCLC cohorts. The high-score group exhibits a higher abundance of CAFs, decreased immune cell infiltration, increased epithelial-mesenchymal transition (EMT), activated transforming growth factor beta (TGFβ) signaling, and a limited survival rate compared with the low-score group. Considering the immunosuppressive feature in the high-score group, we speculated an inferior clinical response for immunotherapy in these patients, and this association was successfully verified in two NSCLC cohorts treated with immune checkpoint blockades (ICBs). Furthermore, single-cell RNA sequence datasets were used to clarify the molecular mechanisms underlying the aggressive and immunosuppressive phenotype in the high-score group. We found that one of the genes in the risk model, filamin binding LIM protein 1 (FBLIM1), is mainly expressed in fibroblasts and upregulated in CAFs compared to fibroblasts from normal tissue. FBLIM1-positive CAF subtype was correlated with increased TGFβ expression, higher mesenchymal marker level, and immunosuppressive tumor microenvironment. Finally, we demonstrated that FBLIM1 might serve as a poor prognostic marker for immunotherapy in clinical samples. In conclusion, we identified a novel CAF-based classifier with prognostic value in NSCLC patients and those treated with ICBs. Single-cell transcriptome profiling uncovered FBLIM1-positive CAFs as an aggressive subtype with a high abundance of TGFβ, EMT, and an immunosuppressive phenotype in NSCLC.

摘要

关于癌症相关成纤维细胞(CAF)的一个新观点是,它在肿瘤微环境(TME)中的肿瘤发生和免疫抑制中起着关键作用,但 CAF 在非小细胞肺癌(NSCLC)中的临床意义和生物学功能仍未得到充分探索。在这里,我们旨在通过整合批量和单细胞基因组学、转录组学和蛋白质组学分析,确定 NSCLC 中与 CAF 相关的特征。使用加权基因共表达网络分析(WGCNA)中鉴定的 CAF 标记基因,我们构建并验证了一个基于 CAF 的风险模型,该模型将四个独立的 NSCLC 队列中的患者分为两个预后组。高分组表现出更高的 CAF 丰度、减少的免疫细胞浸润、增强的上皮-间充质转化(EMT)、激活的转化生长因子β(TGFβ)信号和较低的生存率,与低分组相比。考虑到高分组的免疫抑制特征,我们推测这些患者对免疫治疗的临床反应较差,并且在接受免疫检查点阻断(ICB)治疗的两个 NSCLC 队列中成功验证了这种关联。此外,使用单细胞 RNA 序列数据集阐明了高分组中侵袭性和免疫抑制表型的分子机制。我们发现风险模型中的一个基因,细丝蛋白结合 LIM 蛋白 1(FBLIM1),主要在成纤维细胞中表达,并且与正常组织中的成纤维细胞相比在 CAF 中上调。FBLIM1 阳性 CAF 亚型与 TGFβ表达增加、更高的间充质标志物水平和免疫抑制性肿瘤微环境相关。最后,我们证明 FBLIM1 可能是临床样本中免疫治疗不良预后的标志物。总之,我们确定了一种新的基于 CAF 的分类器,该分类器对 NSCLC 患者和接受 ICB 治疗的患者具有预后价值。单细胞转录组谱分析揭示了 FBLIM1 阳性 CAF 作为一种具有高 TGFβ、EMT 和免疫抑制表型的侵袭性亚型。

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